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Algorithm Team Lead – Geometric Data Infrastructure

🕒 17 days ago
PythonAlgorithms3D GeometryData Structures

📜 Description

  • Lead and mentor a team of ~5 Algo and Software Developers while remaining hands-on with technical challenges.
  • Design and build scalable Python libraries, data workflows, and validation systems for spatial data.
  • Develop algorithms and geometric tools for 3D data processing and sensor calibration.
  • Build and maintain development infrastructure, including databases, dashboards, and CI/CD pipelines.
  • Take ownership of complex algorithmic challenges from research through production.

🛠️ Requirements

  • Bachelor's or Master's degree in Computer Science, Mathematics, Physics, Engineering, or a related field.
  • 2+ years of experience leading and mentoring engineering teams.
  • 5+ years of hands-on software/backend engineering experience with Python.
  • Strong foundation in algorithms, data structures, and algorithmic complexity.
  • Some mathematical background with 3D geometry, linear algebra, and coordinate transformations.
  • Experience with Linux, containerization, CI/CD, and databases.
  • Experience building scalable data infrastructure and cloud-based architectures.
Full job description
The AV Sensing group is responsible for the critical and challenging task of object detection and scene comprehension using LiDAR and Radar sensors. Our team develops scalable infrastructure and algorithmic solutions for processing, validating, and understanding complex 3D sensor data.
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What will your job look like:

  • Lead and mentor a team of ~5 Algo and Software Developers while remaining hands-on and closely involved in technical and algorithmic challenges.
  • Design and build scalable Python libraries, data workflows, validation and monitoring systems for spatial data.
  • Develop algorithms and geometric tools for 3D data processing, sensor calibration, coordinate transformations, and spatial relationships.
  • Build and maintain development infrastructure, including databases, dashboards, CI/CD pipelines, and automated documentation.
  • Take ownership of complex algorithmic challenges from research through production, while collaborating with cross-functional teams to integrate solutions into the broader system.
  • All you need is:

  • Bachelor’s or Master’s degree in Computer Science, Mathematics, Physics, Engineering, or a related field.
  • 2+ years of experience leading, mentoring, and growing engineering teams.
  • 5+ years of hands-on software/backend engineering experience building large-scale production systems with python.
  • Strong foundation in algorithms, data structures, and algorithmic complexity.
  • Some mathematical background preferred, will need the ability to work with 3D geometry, linear algebra, and coordinate transformations.
  • Experience with Linux, containerization, CI/CD, databases, and modern development workflows.
  • Experience building scalable data infrastructure, distributed systems, or cloud-based architectures.
  • Braze

    Staff Machine Learning Engineer, ML Platform

    🕒 4 days ago
    Braze👥 10,000+ employees🏢 Software Development🤝 B2B

    As a Staff Machine Learning Engineer at Braze, you will lead transformative initiatives to enhance ML production systems, ensuring efficient deployment and operation at scale.

    Machine LearningDistributed SystemsKubernetesCloud Infrastructure

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